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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Meng Wu Jian Yao |
| Copyright Year | 2015 |
| Description | Author affiliation: Sch. of Remote Sensing & Inf. Eng., Wuhan Univ., Wuhan, China (Meng Wu; Jian Yao) |
| Abstract | Consider the two characteristics: (1) Simultaneous localization and mapping (SLAM) is a popular algorithm for autonomous underwater vehicle, but visual SLAM is significantly influenced by weak illumination. (2)Geomagnetism-aided navigation and gravity-aided navigation are equally important methods in the field of vehicle navigation, but both are affected heavily by time-varying noises and terrain fluctuations. However, magnetic gradient vector can avoid the influence of time-varying noises, and is less affected by terrain fluctuations. To this end, we propose an adaptive SLAM-based magnetic gradient aided navigation with the following advantages: (1) Adaptive SLAM is an efficient way to deal with uncertainty of the measurement model. (2) Magnetic gradient inversion equation is a good alternative to be used as measurement equation in visual SLAM-denied environment. Experimental results show that our proposed method is an effective solution, combining magnetic gradient information with SLAM. |
| Starting Page | 839 |
| Ending Page | 843 |
| File Size | 396121 |
| Page Count | 5 |
| File Format | |
| e-ISBN | 9781479960101 |
| DOI | 10.1109/ICUAS.2015.7152369 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-06-09 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Visualization Magnetic gradient inversion equation Simultaneous localization and mapping Magnetometers Navigation Cameras Mathematical model Adaptive SLAM Underwater vehicles Magnetic gradient vector |
| Content Type | Text |
| Resource Type | Article |
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